Thanks John for an extraordinary partnership and wonderful collaboration over the past 9 years! What we achieved with AlphaFold changed the world, and showed the field what was possible with AI for science and medicine, lighting the way for how AI can benefit humanity.
AI conversations are like dreams: everyone has one they like and wants to share it with others ... but no on gives a crap about your dream/chat session, because it was uniquely appealing to you, and not them.
Don't bore your co-workers (or others) with descriptions of your dreams, and don't throw a computer's dreams (AI chat logs) at them either.
I’ve been using Erlang since the early 2010s, right around the time we (the tech industry) discovered that WhatsApp was supporting over 400 million active users with only like 30 engineers.
I reached out to one of their engineers at the time (when I still lived in the US) who kindly responded to some of my questions via email. We ended up meeting for coffee and still stay in touch to this day.
I can tell you that Erlang is still very much a part of WhatsApp.
Not sure why you're being downvoted but this is the truth if you live in a western country (probably other countries too but I have never lived outside of a non-Western country).
Google still somehow has 190,000 employees though. I'd be interested in seeing if the total lines of code output is actually any different (acknowledging that this is not a good metric in itself, still just curious).
Is Anthropic really worth 40x Atlassian? If so, is it worth them spending just 2.5% of their valuation to acquire Atlassian's 300,000 enterprise customers?
The majority of the code currently running in production for my company was written 5+ years ago. This was all "hand-written" and much lower quality than the AI generated code that I am generating and deploying these days.
Yet I feel much more connected with my old code. I really enjoyed actually writing all that code even though it wasn't the best.
If AI tools had existing 5 years ago when I first started working on this codebase, obviously the code quality would've been much higher. However, I feel like I really loved writing my old code and if given the same opportunity to start over, I would want to rewrite this code myself all over again.
I don't understand the hate for Meta's attempt at the metaverse.
Since when do we criticize companies for actually doing R&D? We should be striving to build novel technologies, not just maintaining the status quo.
Even if the project 'failed' for now, the engineering lessons learned are valuable assets that will transfer to whatever problem those teams solve next (whether at Meta or elsewhere).